Zobrazeno 1 - 10
of 33
pro vyhledávání: '"James Scrofani"'
Publikováno v:
IEEE Access, Vol 8, Pp 140361-140391 (2020)
In this paper, we develop and test a three-stage algorithm for performing unsupervised segmentation of hyperspectral imagery. Each stage of the algorithm leverages modified clustering methods which incorporate both the spatial and spectral informatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c87fb8e31c55c81b19cdecb9ca73103
https://ieeexplore.ieee.org/document/9159899/
https://ieeexplore.ieee.org/document/9159899/
Publikováno v:
HICSS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b150d4c61649b521191bfbf00472c046
https://doi.org/10.24251/hicss.2021.844
https://doi.org/10.24251/hicss.2021.844
Publikováno v:
IEEE Transactions on Information Forensics and Security. 12:1358-1368
Location privacy is an ever increasing concern as the pervasiveness of computing becomes more ubiquitous. This is especially apparent at the intersection of privacy, convenience, and quality of service in cellular networks. In this paper, we show the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d743751fc456f2772e3f105c8f717060
https://doi.org/10.1109/tifs.2017.2656470
https://doi.org/10.1109/tifs.2017.2656470
Proceedings of the 53rd Hawaii International Conference on System Sciences | 2020
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0afd11b3c9d54ab393dfd16a4823ef20
https://hdl.handle.net/10945/66983
https://hdl.handle.net/10945/66983
Publikováno v:
HICSS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d2c91491490b09b61ee9f38a3ba5ca6
https://doi.org/10.24251/hicss.2020.819
https://doi.org/10.24251/hicss.2020.819
Publikováno v:
ICSPCS
Hyperspectral imagery (HSI) cubes are high-dimensional datasets that lend themselves well to deep learning approaches for classification. Deep learning approaches, specifically generative adversarial networks (GANs), have been shown to be very effect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::894695a33811c8e44e2a21b01a99a499
https://doi.org/10.1109/icspcs47537.2019.9008719
https://doi.org/10.1109/icspcs47537.2019.9008719
Publikováno v:
WHISPERS
In this paper, we present a multi-step method for performing unsupervised segmentation of hyperspectral imagery using modified clustering algorithms which incorporate both the spatial and spectral information present within the scene. The algorithm d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b75999e28071b2277e5d63578e52743
https://doi.org/10.1109/whispers.2019.8921232
https://doi.org/10.1109/whispers.2019.8921232
Publikováno v:
HICSS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccbf97908c8d629bd25e3e2252c40863
https://doi.org/10.24251/hicss.2019.851
https://doi.org/10.24251/hicss.2019.851
Autor:
William Williamson, James Scrofani
Publikováno v:
HICSS
17 USC 105 interim-entered record; under temporary embargo. Since the revelations of interference in the 2016 US Presidential elections, the UK’s Brexit referendum, the Catalan independence vote in 2017 and numerous other major political discussion
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bac7eee67b4e3f22d2ebe866be3324ea
https://doi.org/10.24251/hicss.2019.854
https://doi.org/10.24251/hicss.2019.854
Publikováno v:
ACSSC
Location-based services have seen a boon in data production recently which has simultaneously stoked the research community to better understand this type of information. Traditional methods in analyzing such data require significant a priori underst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdc1b83fb14444cfc92b257f2cceab96
https://doi.org/10.1109/acssc.2018.8645120
https://doi.org/10.1109/acssc.2018.8645120